| Fully probabilistic deep models for forward and inverse problems in parametric PDEs | Aug 9, 2022 | Variational Inference | —Unverified | 0 |
| Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation | Aug 8, 2022 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 |
| Unitary Approximate Message Passing for Matrix Factorization | Jul 31, 2022 | Compressive SensingDictionary Learning | —Unverified | 0 |
| Sliced Wasserstein Variational Inference | Jul 26, 2022 | validVariational Inference | —Unverified | 0 |
| One Simple Trick to Fix Your Bayesian Neural Network | Jul 26, 2022 | Variational Inference | —Unverified | 0 |
| Learning Generalizable Latent Representations for Novel Degradations in Super Resolution | Jul 25, 2022 | Blind Super-ResolutionImage Super-Resolution | —Unverified | 0 |
| Reliable amortized variational inference with physics-based latent distribution correction | Jul 24, 2022 | Bayesian InferenceSeismic Imaging | CodeCode Available | 1 |
| Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection | Jul 22, 2022 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Mean-field Variational Inference via Wasserstein Gradient Flow | Jul 17, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows | Jul 17, 2022 | Variational Inference | —Unverified | 0 |
| The Free Energy Principle for Perception and Action: A Deep Learning Perspective | Jul 13, 2022 | Deep LearningVariational Inference | —Unverified | 0 |
| On the Robustness of Bayesian Neural Networks to Adversarial Attacks | Jul 13, 2022 | Variational Inference | CodeCode Available | 1 |
| Scalable Bayesian Inference for Detection and Deblending in Astronomical Images | Jul 12, 2022 | Bayesian InferenceGPU | CodeCode Available | 1 |
| Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility | Jul 11, 2022 | Face RecognitionFairness | CodeCode Available | 0 |
| Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study | Jul 8, 2022 | Variational Inference | CodeCode Available | 0 |
| Challenges and Pitfalls of Bayesian Unlearning | Jul 7, 2022 | Machine UnlearningVariational Inference | —Unverified | 0 |
| Harnessing Out-Of-Distribution Examples via Augmenting Content and Style | Jul 7, 2022 | Data AugmentationDisentanglement | CodeCode Available | 0 |
| Variational Flow Graphical Model | Jul 6, 2022 | modelRepresentation Learning | —Unverified | 0 |
| Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems | Jul 6, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Modeling Randomly Walking Volatility with Chained Gamma Distributions | Jul 4, 2022 | State EstimationTime Series Analysis | —Unverified | 0 |
| Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach | Jul 4, 2022 | Variational Inference | CodeCode Available | 0 |
| Variational Deep Image Restoration | Jul 3, 2022 | DenoisingImage Restoration | CodeCode Available | 1 |
| Variational Inference for Additive Main and Multiplicative Interaction Effects Models | Jun 29, 2022 | Decision MakingVariational Inference | —Unverified | 0 |
| Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios | Jun 29, 2022 | State Space ModelsTime Series | CodeCode Available | 0 |
| Reconstructing the Universe with Variational self-Boosted Sampling | Jun 28, 2022 | Variational Inference | —Unverified | 0 |
| Sum-of-Squares Relaxations for Information Theory and Variational Inference | Jun 27, 2022 | Variational Inference | —Unverified | 0 |
| End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue | Jun 24, 2022 | text-to-speechText to Speech | —Unverified | 0 |
| Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes | Jun 23, 2022 | Point ProcessesVariational Inference | CodeCode Available | 0 |
| PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning | Jun 22, 2022 | counterfactualMulti-agent Reinforcement Learning | CodeCode Available | 0 |
| Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation | Jun 22, 2022 | Graph GenerationScene Graph Generation | —Unverified | 0 |
| Variational Causal Dynamics: Discovering Modular World Models from Interventions | Jun 22, 2022 | Causal DiscoveryVariational Inference | —Unverified | 0 |
| Cold Posteriors through PAC-Bayes | Jun 22, 2022 | Bayesian InferenceGeneralization Bounds | —Unverified | 0 |
| Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis | Jun 17, 2022 | MuJoCoStarcraft | —Unverified | 0 |
| Scaling multi-species occupancy models to large citizen science datasets | Jun 17, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Spherical Sliced-Wasserstein | Jun 17, 2022 | Density EstimationVariational Inference | CodeCode Available | 1 |
| Personalized Federated Learning via Variational Bayesian Inference | Jun 16, 2022 | Bayesian InferenceDiversity | CodeCode Available | 1 |
| Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility | Jun 16, 2022 | Variational Inference | —Unverified | 0 |
| Deep Variational Implicit Processes | Jun 14, 2022 | Gaussian ProcessesVariational Inference | CodeCode Available | 0 |
| Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients | Jun 13, 2022 | Variational Inference | CodeCode Available | 0 |
| Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations | Jun 12, 2022 | Bayesian InferenceOperator learning | —Unverified | 0 |
| Reconfigurable Intelligent Surface-Aided 6G Massive Access: Coupled Tensor Modeling and Sparse Bayesian Learning | Jun 11, 2022 | Tensor DecompositionVariational Inference | —Unverified | 0 |
| PAVI: Plate-Amortized Variational Inference | Jun 10, 2022 | Bayesian InferenceVariational Inference | —Unverified | 0 |
| Scalable Deep Gaussian Markov Random Fields for General Graphs | Jun 10, 2022 | Bayesian InferenceVariational Inference | CodeCode Available | 1 |
| Accurate Node Feature Estimation with Structured Variational Graph Autoencoder | Jun 9, 2022 | Variational Inference | CodeCode Available | 1 |
| Decoupled Self-supervised Learning for Non-Homophilous Graphs | Jun 7, 2022 | Representation LearningSelf-Supervised Learning | —Unverified | 0 |
| Embrace the Gap: VAEs Perform Independent Mechanism Analysis | Jun 6, 2022 | DecoderInductive Bias | CodeCode Available | 1 |
| AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows | Jun 5, 2022 | Density EstimationImage Generation | —Unverified | 0 |
| Towards Improving the Generation Quality of Autoregressive Slot VAEs | Jun 3, 2022 | Image GenerationObject | CodeCode Available | 0 |
| BaCaDI: Bayesian Causal Discovery with Unknown Interventions | Jun 3, 2022 | Causal DiscoveryVariational Inference | CodeCode Available | 1 |
| Beyond Opinion Mining: Summarizing Opinions of Customer Reviews | Jun 3, 2022 | Opinion MiningOpinion Summarization | CodeCode Available | 1 |